FUZZY LOGIC-BASED LANDSLIDE SUSCEPTIBILITY MAPPING IN EARTHQUAKE-PRONE AREAS: A CASE STUDY OF MILA BASIN, ALGERIA
W. Chettah1, S. Mezhoud 2, M. Badeche3, R. Hadji4
1 Laboratory of Geology and Environment, University of Constantine 1, Algeria.
2 Laboratory of Materials and Construction Durability (LMDC), University of Constantine 1, Algeria.
3Department of Land Survey, University of Constantine 1, Algeria.
4Laboratory of Applied Research in Engendering Geology, Geotechnics, Water Sciences and Environment, University of Sétif 1, Algeria.
Дополнительные материалы
Ключевые слова: Earthquake-Triggered Landslides, Fuzzy operators, GIS, seismic hazard, susceptibility maps, Mila basin
Аннотация
This research focuses on analyzing landslides triggered by a moderate earthquake (Mw = 4.9) in the northeastern region of Mila province, which resulted in significant damage and economic losses in El Kherba district and Grarem Gouga city. Through an extensive field-based investigation, a comprehensive inventory of landslides was compiled. To assess the susceptibility of landslides triggered by seismic activity, a GIS-based fuzzy logic model was employed. The model incorporates various input factors such as lithology, slope angle, normalized difference vegetation index (NDVI), distance from rivers and roads, precipitation, and a seismic hazard map. The study compares the performance of different fuzzy operators and gamma values and determines that using fuzzy gamma operators with a gamma value of 0.8 yields a satisfactory consistency with the distribution of landslides. Moreover, incorporating the seismic hazard map as a causative factor enhances the accuracy of landslide susceptibility mapping. This study underscores the utility of the fuzzy logic model in disaster management and the planning of development activities.
DOI: 10.15372/GiG2024111 |
